{"product_id":"lixel-l3","title":"XGRIDS Lixel L3","description":"\u003cp dir=\"ltr\"\u003e\u003cstrong\u003eWhat's New with L3\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003eLixel L3 is XGRIDS' flagship high-accuracy spatial scanner, built around a validated 5 mm relative accuracy figure. It combines a high-accuracy LiDAR, a 4K HDR true-color camera system, an integrated RTK module, and an on-device display in a single mobile scanner. One capture produces a high-accuracy point cloud, a mesh, and a photorealistic 3D Gaussian Splatting (3DGS) scene; data that integrates directly into professional workflows across architecture, digital twin, film production, and cultural heritage and tourism.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0400\/1752\/6943\/files\/unnamed.png?v%3Ch3%3EKey%20Specifications%20(vs.%20L2%20Pro)%3C\/h3%3E%3Ctable%20width=\" style=\"width: 102.193%; border-collapse: collapse;\"\u003e \u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch3\u003eKey Specifications (vs. L2 Pro)\u003c\/h3\u003e\n\u003ctable width=\"100%\" style=\"width: 102.193%; border-collapse: collapse; height: 1887.2px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 21.1536%; height: 19.6px;\"\u003e\u003cstrong\u003eCategory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 22.3775%; height: 19.6px;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 19.6px;\"\u003e\u003cstrong\u003eLixel L3\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 19.6px;\"\u003e\u003cstrong\u003eLixel L2 Pro\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 145.6px;\"\u003e\n\u003ctd style=\"width: 21.1536%; vertical-align: middle; height: 271.6px;\" rowspan=\"2\"\u003eBasic Information\u003c\/td\u003e\n\u003ctd style=\"width: 22.3775%; height: 145.6px;\"\u003eLiDAR configuration\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 145.6px;\"\u003e\n\u003cul\u003e\n\u003cli\u003e16-channel \/ 120 m\u003c\/li\u003e\n\u003cli\u003e32-channel \/ 120 m\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 145.6px;\"\u003e\n\u003cul\u003e\n\u003cli\u003e16-channel \/ 120 m\u003c\/li\u003e\n\u003cli\u003e32-channel \/ 120 m\u003c\/li\u003e\n\u003cli\u003e32-channel \/ 300 m\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 126px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 126px;\"\u003eHardware configuration\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 126px;\"\u003e\n\u003cul\u003e\n\u003cli\u003eIntegrated RTK\u003c\/li\u003e\n\u003cli\u003eOptimized LiDAR field of view\u003c\/li\u003e\n\u003cli\u003e4.3-inch built-in display\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 126px;\"\u003e—\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 21.1536%; vertical-align: middle; height: 156.8px;\" rowspan=\"6\"\u003eCamera\u003c\/td\u003e\n\u003ctd style=\"width: 22.3775%; height: 19.6px;\"\u003eCMOS sensor size\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 19.6px;\"\u003e1\/1.3 in\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 19.6px;\"\u003e1\/2 in\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 19.6px;\"\u003eNative resolution\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 19.6px;\"\u003e3 × 50 MP\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 19.6px;\"\u003e2 × 48 MP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 19.6px;\"\u003eOutput resolution\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 19.6px;\"\u003e4096 × 3072\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 19.6px;\"\u003e4000 × 3000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 19.6px;\"\u003eHDR\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 19.6px;\"\u003e4K HDR supported\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 19.6px;\"\u003eNot supported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 39.2px;\"\u003eForward-facing camera\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 39.2px;\"\u003eRGB camera\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 39.2px;\"\u003eDepth camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 39.2px;\"\u003eForward-facing camera field of view\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 39.2px;\"\u003e100° × 85°\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 39.2px;\"\u003e190° × 119°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8px;\"\u003e\n\u003ctd style=\"width: 21.1536%; vertical-align: middle; height: 196px;\" rowspan=\"5\"\u003eAccuracy\u003c\/td\u003e\n\u003ctd style=\"width: 22.3775%; height: 58.8px;\"\u003eRelative accuracy\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 58.8px;\"\u003e5 mm\u003cbr\u003e\u003cem\u003eIn a dedicated 500 m² test environment\u003c\/em\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 58.8px;\"\u003e1 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 19.6px;\"\u003eAbsolute accuracy\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 19.6px;\"\u003e2 cm\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 19.6px;\"\u003e3 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 39.2px;\"\u003ePoint cloud thickness\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 39.2px;\"\u003e5 mm\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 39.2px;\"\u003e5 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 39.2px;\"\u003eLevelness (with RTK fusion)\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 39.2px;\"\u003e0.005°\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 39.2px;\"\u003e0.015°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 39.2px;\"\u003eLevelness (without RTK fusion)\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 39.2px;\"\u003e0.02°\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 39.2px;\"\u003e0.03°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 420px;\"\u003e\n\u003ctd style=\"width: 21.1536%; vertical-align: middle; height: 420px;\"\u003eData processing\u003c\/td\u003e\n\u003ctd style=\"width: 22.3775%; height: 420px;\"\u003eOn-device real-time algorithms\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 420px;\"\u003e\n\u003cul\u003e\n\u003cli\u003eReal-time dynamic removal of moving people\u003c\/li\u003e\n\u003cli\u003eReal-time noise filtering and smoothing\u003c\/li\u003e\n\u003cli\u003eReal-time loop closure optimization, reducing drift over large areas\u003c\/li\u003e\n\u003cli\u003eReal-time WGS 84 and CGCS2000 coordinate conversion\u003c\/li\u003e\n\u003cli\u003eReal-time levelness optimization, reducing point cloud layering and improving accuracy\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 420px;\"\u003e—\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8px;\"\u003e\n\u003ctd style=\"width: 21.1536%; vertical-align: middle; height: 333.2px;\" rowspan=\"3\"\u003eDesign \u0026amp; physical\u003c\/td\u003e\n\u003ctd style=\"width: 22.3775%; height: 58.8px;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 58.8px;\"\u003e2.5 kg incl. battery\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 58.8px;\"\u003eApprox. 3 kg incl. battery, surveying RTK module, and phone\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 98px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 98px;\"\u003eErgonomics \/ support rig\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 98px;\"\u003eShoulder strap, torso brace, and telescoping arm; carries the device weight, leaving the operator to steady it\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 98px;\"\u003e—\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 176.4px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 176.4px;\"\u003eControl point collection\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 176.4px;\"\u003eControl point tip at the base of the handle; aim the tip at the point and trigger from the screen or the power button; wall control points can be measured without tilting the device; compatible with a survey pole\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 176.4px;\"\u003e—\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 176.4px;\"\u003e\n\u003ctd style=\"width: 21.1536%; vertical-align: middle; height: 352.8px;\" rowspan=\"3\"\u003eOutputs\u003c\/td\u003e\n\u003ctd style=\"width: 22.3775%; height: 176.4px;\"\u003eTrue-color point cloud\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 176.4px;\"\u003eImproved image quality gives the point cloud better color and detail, holding both highlights and shadow detail; supports local enhancement (upsampling) of priority objects\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 176.4px;\"\u003e—\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 117.6px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 117.6px;\"\u003eLCC\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 117.6px;\"\u003eImproved image quality strengthens the LCC result, with richer color and tonal range across both bright and dark areas\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 117.6px;\"\u003e—\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8px;\"\u003e\n\u003ctd style=\"width: 22.3775%; height: 58.8px;\"\u003eMesh\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 58.8px;\"\u003eImproved image quality gives the mesh finer structure and texture\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 58.8px;\"\u003e—\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8px;\"\u003e\n\u003ctd style=\"width: 21.1536%; vertical-align: middle; height: 58.8px;\"\u003eEnvironment handling\u003c\/td\u003e\n\u003ctd style=\"width: 22.3775%; height: 58.8px;\"\u003eLow-feature environment optimization\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 58.8px;\"\u003eOptimized for tunnels and other low-feature environments\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 58.8px;\"\u003e—\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.4px;\"\u003e\n\u003ctd style=\"width: 21.1536%; vertical-align: middle; height: 78.4px;\"\u003eCompatibility\u003c\/td\u003e\n\u003ctd style=\"width: 22.3775%; height: 78.4px;\"\u003eRTK survey pole\u003c\/td\u003e\n\u003ctd style=\"width: 27.9057%; height: 78.4px;\"\u003eCompatible with standard RTK survey poles; no proprietary extension pole\u003c\/td\u003e\n\u003ctd style=\"width: 27.7425%; height: 78.4px;\"\u003e—\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3 dir=\"ltr\"\u003e\u003cstrong\u003eWhy Choose the Lixel L3\u003c\/strong\u003e\u003c\/h3\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cstrong\u003e5 mm Accuracy, Documented\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cul dir=\"ltr\"\u003e\n\u003cli\u003e5 mm post-processed relative accuracy\u003c\/li\u003e\n\u003cli\u003e2 cm absolute accuracy (2.5 cm real-time)\u003c\/li\u003e\n\u003cli\u003e0.005° levelness with RTK fusion\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp dir=\"ltr\"\u003eTested in a dedicated 500 m² environment, with all figures stated at 1 sigma. An official Accuracy Validation White Paper will be available at launch, so partners can explain exactly where the 5 mm figure applies.\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cstrong\u003eImaging-Grade True-Color Vision\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eA 1\/1.3\" sensor, 3×50 MP camera array, and 4K HDR imaging produce a structurally accurate point cloud with natural color, material, and shadow detail, making objects easier to identify and results easier to explain to customers. Key objects (railings, pipework, nameplates) can be enhanced locally without slowing down the whole dataset.\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cstrong\u003eUsable Results Straight Out of the Field\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eIntegrated RTK, real-time loop closure, levelness optimization, and AI filtering work together during capture to:\u003c\/p\u003e\n\u003cul dir=\"ltr\"\u003e\n\u003cli\u003eReduce drift and layering over large areas\u003c\/li\u003e\n\u003cli\u003eStay stable in low-feature or repetitive environments\u003c\/li\u003e\n\u003cli\u003eRemove moving people, vehicles, and noise\u003c\/li\u003e\n\u003cli\u003eConvert WGS 84 \/ CGCS2000 coordinates in real time\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp dir=\"ltr\"\u003eThe real-time point cloud is a usable deliverable, not just a coverage preview.\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cstrong\u003eOne Scan, Three Spatial Outputs\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cul dir=\"ltr\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eTrue-color point cloud: \u003c\/strong\u003egeometry and color for measurement, CAD, BIM, and engineering\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMesh: \u003c\/strong\u003etextured surfaces and structural lines for modeling and visualization\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3D Gaussian Splatting (3DGS): \u003c\/strong\u003ephotorealistic scenes for digital twins, location scouting, and simulation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp dir=\"ltr\"\u003eOne visit, one dataset, multiple deliverables.\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cstrong\u003eSmoother Field Operation\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eA 4.3\", 1000-nit display shows point cloud, trajectory, and coverage with no phone required. The support rig carries the device weight, and a handle-mounted control point tip plus direct survey-pole connection simplify control-point collection and elevated capture.\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cstrong\u003eFlexible Processing\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eMultiple scan segments merge automatically through region-selection matching, with no control points needed. Automatic face and license-plate blurring handles privacy for public-space data without manual masking.\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cstrong\u003eOpen Data for Existing Workflows\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eLixelStudio and LCC expose Creator Data (perspective images, COLMAP datasets, 3DGS intermediates), plus SDKs\/plugins for custom integration. Point clouds support Scan-to-BIM in Revit; 3DGS connects to Unreal Engine and NVIDIA Isaac Sim for scouting, previsualization, and simulation.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0400\/1752\/6943\/files\/unnamed_1.png?v=1789482722\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"XGRIDS","offers":[{"title":"Default Title","offer_id":49741951140067,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0400\/1752\/6943\/files\/LixelL3_RearView.png?v=1789481525","url":"https:\/\/e38surveysolutions.com\/products\/lixel-l3","provider":"E38 Survey Solutions","version":"1.0","type":"link"}